Instructions to use brew35/23f2dcac-d4d1-4ae6-a43f-d96d159df543 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brew35/23f2dcac-d4d1-4ae6-a43f-d96d159df543 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "brew35/23f2dcac-d4d1-4ae6-a43f-d96d159df543") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85d5c935db2e9777d766c98e48e4cb3398b8e37df3e76393bea356e35b1f9fee
- Size of remote file:
- 9.92 MB
- SHA256:
- 3b0f5465600c717119e04b5741feee7dbd8ae0a3a7a1d735a54a064356bd47b3
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